United States Correlations

USL Etf

USD 36.34 0.11 0.30%

The current 90-days correlation between United States 12 and United States Gasoline is -0.08 (i.e., Good diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as United States moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if United States 12 moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

United States Correlation With Market

Average diversification

The correlation between United States 12 and DJI is 0.11 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding United States 12 and DJI in the same portfolio, assuming nothing else is changed.

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in United States 12. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in state.

Moving together with United Etf

0.92	USO	United States Oil	Pair Corr
0.93	OIH	VanEck Oil Services	Pair Corr
0.71	ARKW	ARK Next Generation	Pair Corr
0.85	WTMF	WisdomTree Managed	Pair Corr
0.74	BST	BlackRock Science Tech	Pair Corr

Moving against United Etf

0.49	SIVR	abrdn Physical Silver	Pair Corr
0.48	SLV	iShares Silver Trust	Pair Corr
0.47	GLD	SPDR Gold Shares Sell-off Trend	Pair Corr
0.47	IAU	iShares Gold Trust Sell-off Trend	Pair Corr
0.47	GLDM	SPDR Gold MiniShares Sell-off Trend	Pair Corr
0.47	SGOL	abrdn Physical Gold Sell-off Trend	Pair Corr
0.47	IAUM	iShares Gold Trust	Pair Corr
0.46	GLTR	abrdn Physical Precious	Pair Corr
0.76	PG	Procter Gamble	Pair Corr
0.67	VZ	Verizon Communications	Pair Corr
0.61	MCD	McDonalds	Pair Corr
0.5	JNJ	Johnson Johnson	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.07	0.61	-0.52	0.35	0.4	0.23	0.9	-0.75	0.03	META
MSFT	-0.07		-0.63	0.16	-0.79	0.68	0.89	0.07	0.46	-0.47	MSFT
UBER	0.61	-0.63		-0.4	0.8	-0.24	-0.54	0.55	-0.85	0.5	UBER
F	-0.52	0.16	-0.4		-0.1	0.01	-0.01	-0.39	0.58	0.29	F
T	0.35	-0.79	0.8	-0.1		-0.56	-0.7	0.2	-0.66	0.55	T
A	0.4	0.68	-0.24	0.01	-0.56		0.77	0.61	0.11	-0.25	A
CRM	0.23	0.89	-0.54	-0.01	-0.7	0.77		0.3	0.26	-0.52	CRM
JPM	0.9	0.07	0.55	-0.39	0.2	0.61	0.3		-0.64	0.09	JPM
MRK	-0.75	0.46	-0.85	0.58	-0.66	0.11	0.26	-0.64		-0.3	MRK
XOM	0.03	-0.47	0.5	0.29	0.55	-0.25	-0.52	0.09	-0.3		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

JPM	+ 0.9	META
CRM	+ 0.89	MSFT
T	+ 0.8	UBER
CRM	+ 0.77	A
A	+ 0.68	MSFT
UBER	+ 0.61	META

High negative correlations

MRK	- 0.85	UBER
T	- 0.79	MSFT
MRK	- 0.75	META
CRM	- 0.7	T
MRK	- 0.66	T
MRK	- 0.64	JPM

United States Competition Risk-Adjusted Indicators

There is a big difference between United Etf performing well and United States ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze United States' multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

	Mean Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
META	1.59	(0.03)	0.00	(0.10)	0.00	0.00	2.57	(3.73)	8.90
MSFT	1.10	(0.17)	0.00	(0.32)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.89	0.35	0.16	0.60	2.15	(2.04)	4.72	(3.13)	12.75
F	1.47	0.08	0.03	0.00	2.22	(1.39)	2.71	(2.89)	10.14
T	1.05	0.27	0.17	0.42	1.61	(1.12)	1.90	(1.75)	11.66
A	1.16	(0.17)	0.00	(0.26)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.38	(0.29)	0.00	(0.33)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.10	0.07	0.04	(0.01)	1.72	(1.04)	1.99	(3.35)	6.85
MRK	1.15	(0.08)	0.00	1.02	0.00	0.00	2.07	(1.80)	11.58
XOM	1.07	0.10	0.10	0.15	1.40	(1.08)	2.55	(2.36)	5.89

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